{"id":"W2137351174","doi":"10.1016/j.tree.2005.08.009","title":"Linking aboveground and belowground diversity","year":2005,"lang":"en","type":"article","venue":"Trends in Ecology & Evolution","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":465,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Biodiversity; Ecosystem; Ecology; Habitat; Ecosystem diversity; Biology; Diversity (politics); Environmental science; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007902363,0.0001847094,0.0002391769,0.001364471,0.0002396181,0.001075362,0.0003221695,0.0006657226,0.006605883],"category_scores_gemma":[0.003785573,0.0002531151,0.0002783644,0.00101034,0.0003904198,0.001049663,0.0005178983,0.0006607358,0.0005201864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002047721,"about_ca_system_score_gemma":0.0001837078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003256648,"about_ca_topic_score_gemma":0.006159133,"domain_scores_codex":[0.9997241,0.00007507112,0.00001082507,0.0001084921,0.00002983041,0.00005168388],"domain_scores_gemma":[0.9958545,0.002585709,0.0006060481,0.000260961,0.0003222229,0.0003706276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001756813,0.000077075,0.9730957,0.00004800414,0.0003850719,0.00004269158,0.0002641933,0.0009436833,0.003694907,0.0009506812,0.0003093928,0.02001303],"study_design_scores_gemma":[0.000005686021,0.00002999561,0.9955503,0.00001592666,0.00008127536,0.00005344797,0.0002180474,0.0009631817,0.0002501817,0.00229859,0.0005269248,0.000006498281],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944794,0.0009759342,0.001113121,0.0001685174,0.00003047417,0.000003232886,0.0004081601,0.00001595821,0.002805179],"genre_scores_gemma":[0.9984062,0.000206047,0.0003360171,0.0000518024,0.00001900009,0.000003049376,0.0002957395,0.000007735679,0.000674359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006605883,"threshold_uncertainty_score":0.0220989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01103390799555263,"score_gpt":0.2393893530946039,"score_spread":0.2283554450990513,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}